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Reseach Article

Data Aggregation Methodology for Precision Agriculture

Published on December 2015 by A. Venkateshwar, Venkanagouda C.patil, Anand Mundewadi
National Conference on Electronics and Communication
Foundation of Computer Science USA
NCEC2015 - Number 2
December 2015
Authors: A. Venkateshwar, Venkanagouda C.patil, Anand Mundewadi
2502b882-dbe5-4169-a335-b92757fe980c

A. Venkateshwar, Venkanagouda C.patil, Anand Mundewadi . Data Aggregation Methodology for Precision Agriculture. National Conference on Electronics and Communication. NCEC2015, 2 (December 2015), 7-11.

@article{
author = { A. Venkateshwar, Venkanagouda C.patil, Anand Mundewadi },
title = { Data Aggregation Methodology for Precision Agriculture },
journal = { National Conference on Electronics and Communication },
issue_date = { December 2015 },
volume = { NCEC2015 },
number = { 2 },
month = { December },
year = { 2015 },
issn = 0975-8887,
pages = { 7-11 },
numpages = 5,
url = { /proceedings/ncec2015/number2/23714-1743/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Electronics and Communication
%A A. Venkateshwar
%A Venkanagouda C.patil
%A Anand Mundewadi
%T Data Aggregation Methodology for Precision Agriculture
%J National Conference on Electronics and Communication
%@ 0975-8887
%V NCEC2015
%N 2
%P 7-11
%D 2015
%I International Journal of Computer Applications
Abstract

The Wireless Sensor Network is characterized by rapid information collection, information transmission with reliability and intelligent information processing. It is applied to monitor the large-scale agriculture production, and then the system will be more unified and yields more. It is effective to promote the productivity with efficient data aggregation, data reconstruction and reduce the overall data transmission and improve network lifetime. The proposed system analyzes the features and functions of wireless sensor network data aggregation and accurate reconstruction of data, based on Matching Pursuit Algorithm for repeat iterative approximation, reconstruction of data and Beam Forming Algorithm for signal processing technique used to control the directionality of the reception or transmission of data.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Matching Pursuit Beam Forming Data Aggregation Precision Agriculture